Abstract

Image compression is one of the important techniques
used today for image and video transmission. There are many types
of image compression techniques are used these days; one of them is
JPEG technique. In this research, we introduce a new idea for
applying the JPEG technique with Discrete Wavelet Transform
(DWT) for high-resolution images. Our image compression algorithm
consists of; firstly, transform an image by single level DWT.
Secondly, JPEG algorithm applied on "LL" sub-band this process is
called JPEG Transformation. Thirdly, separate the final transformed
matrix into DC-Array and AC-Matrix contains DC values and AC
coefficients respectively. Finally, the minimize-matrix-size algorithm
applied on AC-Matrix followed by arithmetic coding. The novel
decompression algorithm used in this research is Parallel Sequential
Search Algorithm, which is represented inverse minimize-matrix-size
algorithm. The searching algorithm consist of a P pointers, all these
pointers are working in parallel to find the original AC-coefficients.
Thereafter, combines all decoded DC-values with the decoded ACcoefficients
in one matrix followed by apply inverse JPEG
transformed and inverse DWT. the technique is tested by
compression and reconstruction of 3D surface patches. Additionally,
this technique is compared with JPEG and JPEG2000 algorithm by
using 2D and 3D RMSE

Item Type:

Book Section

Additional Information:

Paper originally presented at the 18th International Conference on Computers (part of the Circuits, Systems, Communications and Computers) held at Santorini Island, Greece, July 17-21, 2014

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